Prearing 0.14.0-beta release

CHANGES.md

@@ -1,11 +1,17 @@
 # Release Notes
 
-## 0.14.0-beta - xxxx-xx-xx
+## 0.14.0-beta - 2020-03-31
 * Issue #96: Added Arrow as a supported format for reading from BigQuery 
+* Issue #130 Adding the field description to the schema metadata
+* Issue #124: Fixing null values in ArrayType
 * Issue #143: Allowing the setting of `SchemaUpdateOption`s When writing to BigQuery
+* PR #148: Add support for writing clustered tables
+* Upgrade version of google-cloud-bigquery library to 1.110.0
+* Upgrade version of google-cloud-bigquerystorage library to 0.126.0-beta
+
 
 ## 0.13.1-beta - 2020-02-14
-* The BigQuery Storage API was reverted to v1beta2. The v1beta2 API has not been
+* The BigQuery Storage API was reverted to v1beta1. The v1beta2 API has not been
   fully integrated with custom IAM roles, which can cause issues to customers using
   those. The v1beta1 doesn't have this problem. Once the integration is complete,
   the API will be upgraded again.

README.md

@@ -76,8 +76,8 @@ repository. It can be used using the `--packages` option or the
 
 | Scala version | Connector Artifact |
 | --- | --- |
-| Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta` |
-| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.13.1-beta` |
+| Scala 2.11 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.14.0-beta` |
+| Scala 2.12 | `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.14.0-beta` |
 
 ## Hello World Example
 
@@ -533,7 +533,7 @@ using the following code:
 ```python
 from pyspark.sql import SparkSession
 spark = SparkSession.builder\
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta")\
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.14.0-beta")\
   .getOrCreate()
 df = spark.read.format("bigquery")\
   .option("table","dataset.table")\
@@ -543,7 +543,7 @@ df = spark.read.format("bigquery")\
 **Scala:**
 ```python
 val spark = SparkSession.builder
-  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.13.1-beta")
+  .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.11:0.14.0-beta")
   .getOrCreate()
 val df = spark.read.format("bigquery")
   .option("table","dataset.table")
@@ -552,7 +552,7 @@ val df = spark.read.format("bigquery")
 
 In case Spark cluster is using Scala 2.12 (it's optional for Spark 2.4.x,
 mandatory in 3.0.x), then the relevant package is
-com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.13.1-beta. In
+com.google.cloud.spark:spark-bigquery-with-dependencies_**2.12**:0.14.0-beta. In
 order to know which Scala version is used, please run the following code:
 
 **Python:**
@@ -576,14 +576,14 @@ To include the connector in your project:
 <dependency>
   <groupId>com.google.cloud.spark</groupId>
   <artifactId>spark-bigquery-with-dependencies_${scala.version}</artifactId>
-  <version>0.13.1-beta</version>
+  <version>0.14.0-beta</version>
 </dependency>
 ```
 
 ### SBT
 
 ```sbt
-libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.13.1-beta"
+libraryDependencies += "com.google.cloud.spark" %% "spark-bigquery-with-dependencies" % "0.14.0-beta"
 ```
 
 ## Building the Connector

build.sbt

@@ -4,7 +4,7 @@ lazy val sparkVersion = "2.4.0"
 
 lazy val commonSettings = Seq(
   organization := "com.google.cloud.spark",
-  version := "0.13.2-beta-SNAPSHOT",
+  version := "0.14.0-beta",
   scalaVersion := scala211Version,
   crossScalaVersions := Seq(scala211Version, scala212Version)
 )